Pattern-based computational health and configuration monitoring

摘要

Monitoring knowledge is distilled into platform-nonspecific patterns of high-level language elements compiled into management packs or other rule packs targeting specific platforms. A server health and/or configuration monitoring knowledge compiler accepts distillation document(s) and target-specific information, and generates target-specific rule packs to be consumed by monitoring tools to monitor specific target platforms consistent with the platform-nonspecific monitoring elements. Computational rule pack generation is qualitatively different from manual rule pack creation. Plug-ins tailor the compiler to generate on-premises or cloud-based rule packs. Distillation element examples include monitor alert types, instructional content types, target attributes and tags, monitored item types, event alert types, performance collection types, policy monitor types, and threshold monitor types. Tags on monitoring elements indicate relevant products, locations, product features, monitoring tool features, contributors, etc. Runtime code is shared by multiple rule packs for different target platforms.

主权项

1. A computer system comprising:
a logical processor; a memory in operable communication with the logical processor; an SHCMK distillation document residing in the memory and having SHCMK monitoring elements declared in a high-level computer language, the SHCMK monitoring elements providing at least one platform-nonspecific pattern for monitoring at least one of: computational health, computational configuration; a target identifier residing in the memory and specifying at least one target platform to be monitored; and an SHCMK compiler residing in the memory and having code which upon execution will compile the SHCMK distillation document and the target identifier as a collective input, and which will produce as an output a target-specific SHCMK rule pack that is specifically arranged to monitor computational health and/or computational configuration of the target platform.